ELECTRONIC POSTER - ismrm

Wednesday 13:30-15:30 Computer 124
13:30 5079. Quantitative Analysis of Projection Breast Density Changes at Different
Compression Angles Based on 3D MRI
Tzu-Ching Shih 1,2 , Jeon-Hor Chen 2,3 , D Chang 3 , K Nie 3 , M Lin 3 , O Nalcioglu 3 , Min-Ying
Lydia Su 3
1 Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan;
2 Department of Radiology, China Medical University Hospital, Taichung, Taiwan; 3 Tu & Yuen Center for
Functional Onco-Imaging, University of California, Irvine, CA, United States
This study aims to demonstrate the effect of compression angle on the projection breast density at different compression ratios based
on the patient-specific three-dimensional MR images. The fibroglandular tissue and tatty tissue were described by 3,488 and 11,803
tetrahedral elements. Within 50% to 70% compression ratio, the variation of the measured projection breast density was
approximately 7%. In contrast, the variation of the projection breast density was nearly 11% for MOL view compression. This study
provides a novel computer simulation approach to simulate the large deformation of breast compression. Compression angle of
deviation may affect the measured projection breast density.
14:00 5080. Interactive Intensity Thresholding Based Breast Density Assessment in Sequential
MR Examinations
Sadie Nicola Reed 1 , Gokhan Ertas 1 , Martin O. Leach 1
1 Cancer Research UK and EPSRC Cancer Imaging Centre, Institute of Cancer Research, Sutton, Surrey, United
Kingdom
Breast density has been shown to be a strong risk factor for breast cancer. MR imaging allows direct volume estimation of the
fibroglandular breast tissues providing an accurate breast density assessment. In this study, we investigate the value of interactive
intensity thresholding in the assessment of breast density from sequential MR examinations. The results have shown a good
consistency between the left and right breasts and a high level of reproducibility for sequential patient visits. The ability of the
technique to highlight variations from normal breast development in sequential images could give valuable information in assessment
of breast cancer risk.
14:30 5081. A Maximum Likelihood Method for Partial Volume Segmentation of Magnitude
Breast MR Data
Melanie Freed 1,2 , Christian Graff 1 , Maria I. Altbach 3 , Jacco A. de Zwart 4 , Jeff H. Duyn 4 ,
Aldo Badano 1
1 CDRH/OSEL/DIAM, FDA, Silver Spring, MD, United States; 2 Department of Bioengineering, University of
Maryland, College Park, MD, United States; 3 Department of Radiology, University of Arizona, Tucson, AZ,
United States; 4 NINDS/LFMI/Advanced MRI Section, National Institutes of Health, Bethesda, MD, United
States
We apply maximum likelihood estimation techniques to magnitude MR images as a method for partial volume segmentation. The
method is validated on noisy inversion recovery and saturation recovery images of a simulated MR breast phantom created from
human CT data and then applied to inversion recovery images of a physical breast phantom. The segmentation algorithm is able to
successfully separate tissue types in both simulated and phantom MR images.
15:00 5082. DIVA+QUADRANT: Novel Visualisation Software for DCE-MRI to Aid Breast
Cancer Diagnosis and Neoadjuvant Chemotherapy Monitoring
Martin Lowry 1 , David John Manton 1 , Martin D. Pickles 1 , Lindsay W. Turnbull 1
1 YCR Centre for MR Investigations, Hull-York Medical School, Hull, East Yorkshire, United Kingdom
The clinical utility of dynamic contrast-enhanced MRI (DCE-MRI) is well established, but the analysis of data by radiologists can be
time-consuming. Novel visualisation software, called DIVA+QUADRANT, has been developed which quickly and clearly indicates
those regions within a tumour which display the highest contrast agent enhancement (uptake) rate and the greatest degree of contrast
agent wash out (signal decay); both well-established indicators of malignancy following the BIRADS-MRI lexicon. The software can
also be used to monitor response to chemotherapy as it can map out areas where enhancement and washout rates have decreased, i.e.
areas where vasculature shutdown is occurring.
Thursday 13:30-15:30 Computer 124
13:30 5083. Local Rigid and Volume Preserving Deformable Registration Method with
Applications to Liver MR Data
Atilla Peter Kiraly 1 , Christophe Chefd'Hotel 1 , Clifford R. Weiss 2 , Ralph Strecker 3
1 Imaging and Visualization, Siemens Corporate Research, Princeton, NJ, United States; 2 Department of
Radiology, The Johns Hopkins Univeristy School of Medicine, Baltimore, MD, United States; 3 MR Oncology,
Siemens Healthcare, Erlangen, Germany
A novel approach to ensure local rigidity and volume preservation with existing registration methods is presented. A modification to
the deformation field is performed before application to the moving image. It adds little additional runtime and can be quickly